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Tianxin Wei

23 papers at tracked venues · 19 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. AdaFuse: Adaptive Ensemble Decoding for Large Language Models
  2. FeDecider: An LLM-Based Framework for Federated Cross-Domain Recommendation
  3. Harnessing Consistency for Robust Test-Time LLM Ensemble
  4. Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents
  5. PAPERMIND: Benchmarking Agentic Reasoning and Critique over Scientific Papers in Multimodal LLMs
  6. Panda: Test-Time Adaptation with Negative Data Augmentation
  7. Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting
  8. CLIMB: Class-imbalanced Learning Benchmark on Tabular Data
  9. Connecting Domains and Contrasting Samples: A Ladder for Domain Generalization
    SIGKDD 2025 · Tianxin Wei
  10. Graph4MM: Weaving Multimodal Learning with Structural Information
  11. LLM-Forest: Ensemble Learning of LLMs with Graph-Augmented Prompts for Data Imputation
  12. Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning
  13. Learning to Instruct: Fine-Tuning a Task-Aware Instruction Optimizer for Black-Box LLMs
  14. PyG-SSL: A Graph Self-Supervised Learning Toolkit
  15. ResMoE: Space-efficient Compression of Mixture of Experts LLMs via Residual Restoration
  16. SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence
  17. i2VAE: Interest Information Augmentation with Variational Regularizers for Cross-Domain Sequential Recommendation
  18. Graph Mixup on Approximate Gromov-Wasserstein Geodesics
  19. Language Models as Semantic Indexers
  20. Meta Clustering of Neural Bandits
  21. Scalable and Effective Generative Information Retrieval
  22. TAU: Trajectory Data Augmentation with Uncertainty for Next POI Recommendation
  23. Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond
    ICLR 2024 · Tianxin Wei